Flow level performance evaluation in mobile networks: Analytical modeling and empirical validation
| Autor: | Bruno Baynat, Salah Eddine Elayoubi, Younes Khadraoui, Taoufik En-Najjary |
|---|---|
| Přispěvatelé: | Orange Labs [Issy les Moulineaux], France Télécom, Networks and Performance Analysis (NPA), Laboratoire d'Informatique de Paris 6 (LIP6), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Processor sharing
Computer Networks and Communications Computer science Mobile broadband Quality of service Harmonic mean Real-time computing QoS and capacity estimation 020206 networking & telecommunications 020302 automobile design & engineering 02 engineering and technology Field (computer science) Analytical modeling Mobile networks [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 0203 mechanical engineering Flow (mathematics) 0202 electrical engineering electronic engineering information engineering Performance evaluation Algorithm Empirical validation |
| Zdroj: | Computer Communications Computer Communications, Elsevier, 2017, 108, pp.27-35. ⟨10.1016/j.comcom.2017.04.011⟩ Computer Communications, 2017, 108, pp.27-35. ⟨10.1016/j.comcom.2017.04.011⟩ |
| ISSN: | 0140-3664 1873-703X |
| DOI: | 10.1016/j.comcom.2017.04.011⟩ |
| Popis: | International audience; The purpose of this paper is to identify, through empirical validation, the best analytical model for QoS and capacity estimation in mobile data networks. We first present two different sets of models that have been proposed in the literature: the infinite source, Erlang-like models and the finite source, Engset-like models. While the former models are widely developed and adapted to mobile networks, the latter are less used in the mobile context. We thus derive novel analytical models to complete the finite source theory before moving to the comparison of the different models. We make use of network measurements originating from an HSPA network and compare the modeled performance with the observed one, for each of the available analytical models. Our results show that a Processor Sharing analysis that takes as cell capacity the harmonic average of the achievable throughputs and as traffic inputs the volumes generated in each CQI, gives results that are close to the field measurements. As of the finite source models, we observed a good match on some cells and a mismatch on other cells. This is due to the difficulty of extracting traffic parameters from the field. However, finite source models have a better predictive power than infinite source models, as their traffic characteristics can more easily be linked to changes in the network such as the introduction of new services or new devices. |
| Databáze: | OpenAIRE |
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